DOI: 10.1016/j.jag.2015.01.002
Scopus记录号: 2-s2.0-84934937077
论文题名: Monitoring vegetation dynamics with medium resolution MODIS-EVI time series at sub-regional scale in southern Africa
作者: Dubovyk O ; , Landmann T ; , Erasmus B ; F ; N ; , Tewes A ; , Schellberg J
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 38, 期: 1 起始页码: 175
结束页码: 183
语种: 英语
英文关键词: Africa
; Land surface phenology
; Time-series data
; Trend analysis
; Vegetation patterns
Scopus关键词: environmental monitoring
; land surface
; MODIS
; phenology
; spatial resolution
; temporal variation
; time series
; trend analysis
; vegetation dynamics
; Southern Africa
英文摘要: Currently there is a lack of knowledge on spatio-temporal patterns of land surface dynamics at medium spatial scale in southern Africa, even though this information is essential for better understanding of ecosystem response to climatic variability and human-induced land transformations. In this study, we analysed vegetation dynamics across a large area in southern Africa using the 14-years (2000-2013) of medium spatial resolution (250 m) MODIS-EVI time-series data. Specifically, we investigated temporal changes in the time series of key phenometrics including overall greenness, peak and timing of annual greenness over the monitoring period and study region. In order to specifically capture spatial and per pixel vegetation changes over time, we calculated trends in these phenometrics using a robust trend analysis method. The results showed that interannual vegetation dynamics followed precipitation patterns with clearly differentiated seasonality. The earliest peak greenness during 2000-2013 occurred at the end of January in the year 2000 and the latest peak greenness was observed at the mid of March in 2012. Specifically spatial patterns of long-term vegetation trends allowed mapping areas of (i) decrease or increase in overall greenness, (ii) decrease or increase of peak greenness, and (iii) shifts in timing of occurrence of peak greenness over the 14-year monitoring period. The observed vegetation decline in the study area was mainly attributed to human-induced factors. The obtained information is useful to guide selection of field sites for detailed vegetation studies and land rehabilitation interventions and serve as an input for a range of land surface models. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79540
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Katzenburgweg 5, Bonn, Germany; Earth Observation Unit, International Center of Insect Physiology and Ecology (ICIPE), P.O. Box 30772, Nairobi, Kenya; Global Change and Sustainability Research Institute, University of the Witwatersrand, Private bag 3, WITS, Johannesburg, South Africa; Center for Remote Sensing of Land Surfaces (ZFL), University of Bonn, Bonn, Germany
Recommended Citation:
Dubovyk O,, Landmann T,, Erasmus B,et al. Monitoring vegetation dynamics with medium resolution MODIS-EVI time series at sub-regional scale in southern Africa[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,38(1)